Competitive Algorithms for Coevolving Both Game Content and AI. A Case Study: <italic>Planet Wars</italic>-Reference-Cited by-同舟云学术

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Competitive Algorithms for Coevolving Both Game Content and AI. A Case Study: Planet Wars

Published:2016-12 Issue:4 Volume:8 Page:325-337
ISSN:1943-068X
Container-title:IEEE Transactions on Computational Intelligence and AI in Games
language:
Short-container-title:IEEE Trans. Comput. Intell. AI Games

Author:

Nogueira-Collazo Mariela,Porras Carlos Cotta,Fernandez-Leiva Antonio J.

Funder

Junta de Andalucía

Ministerio Español de Economía y Competitividad

UMA-EPHEMECH

Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/4804728/7782439/07323804.pdf?arnumber=7323804

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Toward competitive multi-agents in Polo game based on reinforcement learning;Multimedia Tools and Applications;2021-05-09

2. Investigation of Improved Cooperative Coevolution for Large-Scale Global Optimization Problems;Algorithms;2021-04-30

3. A Systematic Review of Coevolution in Real-Time Strategy Games;IEEE Access;2021

4. An evolutionary approach for generating software models: The case of Kromaia in Game Software Engineering;Journal of Systems and Software;2021-01

5. Adversarial genetic programming for cyber security: a rising application domain where GP matters;Genetic Programming and Evolvable Machines;2020-04-02

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